Abstract

Abstract. We report the first hourly in-situ measurements of speciated organic aerosol (OA) composition in an urban environment. Field measurements were made in southern California at the University of California–Riverside during the 2005 Study of Organic Aerosol at Riverside (SOAR), which included two separate measurement periods: a summer study (15 July–15 August) and a fall study (31 October–28 November). Hourly measurements of over 300 semivolatile and nonvolatile organic compounds were made using the thermal desorption aerosol gas chromatograph (TAG). Positive matrix factorization (PMF) was performed on a subset of these compounds to identify major components contributing to submicron (i.e., PM1) OA at the site, as measured by an aerosol mass spectrometer (AMS). PMF analysis was performed on an 11-day focus period in each season, representing average seasonal conditions during the summer and a period of urban influence during the fall. As a result of this analysis, we identify multiple types of primary and secondary OA (POA and SOA). Secondary sources contribute substantially to fine OA mass at Riverside, which commonly receives regional air masses that pass through metropolitan Los Angeles during the summer. Four individual summertime SOA components are defined, and when combined, they are estimated to contribute an average 88% of the total fine OA mass during summer afternoons according to PMF results. These sources appear to be mostly from the oxidation of anthropogenic precursor gases, with one SOA component having contributions from oxygenated biogenics. During the fall, three out of four aerosol components that contain SOA are inseparable from covarying primary emissions, and therefore we cannot estimate the fraction of total OA that is secondary in nature during the fall study. Identified primary OA components are attributed to vehicle emissions, food cooking, primary biogenics, and biomass burning aerosol. While a distinction between local and regional vehicle emissions is made, a combination of these two factors accounted for approximately 11% of observed submicron OA during both sampling periods. Food cooking operations contributed ~10% of submicron OA mass during the summer, but was not separable from SOA during the fall due to high covariance of sources. Biomass burning aerosol contributed a larger fraction of fine OA mass during the fall (~11%) than compared to summer (~7%). Primary biogenic aerosol was also identified during the summer, contributing ~1% of the OA, but not during the fall. While the contribution of both local and regional primary vehicle OA accounts for only ~11% of total OA during both seasons, gas-phase vehicle emissions likely create a substantial fraction of the observed SOA as a result of atmospheric processing.

Highlights

  • The Study of Organic Aerosol at Riverside (SOAR) was conducted to gain a better understanding of the sources and processes responsible for the formation of organic aerosol (OA) (Docherty and Jimenez, 2005)

  • While marker compounds suggest this is a separate nighttime component, it is more likely a transformation of the preexisting daytime aerosol via semivolatile phase partitioning of local emissions. Further support of this hypothesis is seen by comparing the fraction of total OA that is derived through secondary processes between what was observed by aerosol mass spectrometer (AMS) analysis and thermal desorption aerosol gas chromatograph (TAG) analysis

  • 300 different organic compounds ranging from nonpolar hydrocarbons to polar acids, aldehydes, and ketones were analyzed in detail over 11-day periods for each season

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Summary

Introduction

The Study of Organic Aerosol at Riverside (SOAR) was conducted to gain a better understanding of the sources and processes responsible for the formation of organic aerosol (OA) (Docherty and Jimenez, 2005). These results contrast strongly with previous studies carried out in Riverside and nearby locations, as well as modeling studies, which have consistently reported SOA/OA 200 ppb which did not apply during SOAR-1) (e.g., Appel et al, 1979; Pandis et al, 1992; Turpin and Huntzicker, 1995) This discrepancy is likely due to problems in the methods applied to obtain previous estimates (EC tracer method and SOA modeling in particular) and potentially changes in the fraction of SOA in the South Coast Air Basin due to a larger decrease in POA emissions compared to SOA precursor emissions, as discussed by Docherty et al (2008). The focus of this paper is to determine major components of ambient OA in Riverside, CA using information provided by several novel measurement techniques This information is used to infer major sources of OA that likely contribute to the impact of aerosols on human health effects, changes in the hydrological cycle, and changes in the global radiation balance

Field site
TAG instrument calibration
Data reduction and analysis
Compound identification
Positive matrix factorization
Identification of OA components
Results
Factors 1–4
Factor 7
Factor 8
Factor 9
Factor 5
Factor 6
Residuals
Source contributions to OA mass
Average diurnal variations in OA composition
Conclusions and implications
Full Text
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